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用于近传感器彩色图像识别的全无机钙钛矿量子点光学神经形态突触

All-Inorganic Perovskite Quantum-Dot Optical Neuromorphic Synapses for Near-Sensor Colored Image Recognition.

作者信息

Yao Yung-Chi, Lee Chia-Jung, Chen Yong-Jun, Feng Jun-Zhi, Oh Hongseok, Lue Chin-Shan, Sheu Jinn-Kong, Lee Ya-Ju

机构信息

Program on Key Materials, Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM), National Cheng Kung University, No. 1, University Road, Tainan City, 70101, Taiwan.

Department of Photonics, National Cheng Kung University, No. 1, University Road, Tainan City, 70101, Taiwan.

出版信息

Adv Sci (Weinh). 2025 Feb;12(5):e2409933. doi: 10.1002/advs.202409933. Epub 2024 Dec 16.

Abstract

As the demand for the neuromorphic vision system in image recognition experiences rapid growth, it is imperative to develop advanced architectures capable of processing perceived data proximal to sensory terminals. This approach aims to reduce data movement between sensory and computing units, minimizing the need for data transfer and conversion at the sensor-processor interface. Here, an optical neuromorphic synaptic (ONS) device is demonstrated by homogeneously integrating optical-sensing and synaptic functionalities into a unified material platform, constructed exclusively by all-inorganic perovskite CsPbBr quantum dots (QDs). The dual functionality of each unit within the ONS device, which can be operated as either an optical sensor or a synaptic device depending on applied electrical polarity, provides significant advantages over previous heterogeneous integration methods, particularly regarding material selection, structural compatibility, and device fabrication complexity. The ONS device exhibits distinct wavelength responses essential for emulating colored image recognition capability inherent in the human visual system. Additionally, the seamless integration of electronics and photonics within a unified material system establishes a novel paradigm for optical retrieval, enabling real-time perception of the encoded status of the ONS device. These findings represent substantial advancements in near-sensor computing platforms and open a new horizon for all-inorganic perovskite optoelectronic technologies.

摘要

随着图像识别中对神经形态视觉系统的需求迅速增长,开发能够在靠近传感终端的位置处理感知数据的先进架构势在必行。这种方法旨在减少传感单元和计算单元之间的数据移动,将传感器 - 处理器接口处的数据传输和转换需求降至最低。在此,通过将光学传感和突触功能均匀集成到一个统一的材料平台中,展示了一种光学神经形态突触(ONS)器件,该平台完全由全无机钙钛矿CsPbBr量子点(QDs)构建而成。ONS器件内每个单元的双重功能,可根据施加的电极性作为光学传感器或突触器件运行,相较于先前的异质集成方法具有显著优势,特别是在材料选择、结构兼容性和器件制造复杂性方面。ONS器件展现出对模拟人类视觉系统固有的彩色图像识别能力至关重要的独特波长响应。此外,在统一材料系统中电子学和光子学的无缝集成建立了一种用于光学检索的新范式,能够实时感知ONS器件的编码状态。这些发现代表了近传感器计算平台的重大进展,并为全无机钙钛矿光电子技术开辟了新的视野。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f61/11791932/d4321f87fed0/ADVS-12-2409933-g003.jpg

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